For GEC, we use the public Lang-8 [1]}, NUCLE [2]}, FCE [3]} and W&I+LOCNESS datasets [4]}. After de-duplicating, we have around 900K sentence pairs for training. Both the dev (CoNLL-13) and test (CoNLL-14) have 1.3K sampales.
